






"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCAmelCase_  :					Tuple       =					logging.get_logger(__name__)




class 				lowerCAmelCase__							(     lowercase__							,						lowercase__					):






      '''simple docstring'''

      __UpperCamelCase      					=    "maskformer-swin"

      __UpperCamelCase      					=    {
          "num_attention_heads": "num_heads",
          "num_hidden_layers": "num_layers",
      }
      def __init__(		self	:    Optional[Any]		,      lowercase_	:    Optional[Any]=224		,      lowercase_	:    List[str]=4		,      lowercase_	:    Optional[int]=3		,      lowercase_	:    int=96		,      lowercase_	:    Optional[Any]=[2, 2, 6, 2]		,      lowercase_	:    Any=[3, 6, 12, 24]		,      lowercase_	:    Dict=7		,      lowercase_	:    Optional[Any]=4.0		,      lowercase_	:    Any=True		,      lowercase_	:    str=0.0		,      lowercase_	:    List[Any]=0.0		,      lowercase_	:    Union[str, Any]=0.1		,      lowercase_	:    Union[str, Any]="gelu"		,      lowercase_	:    Dict=False		,      lowercase_	:    Dict=0.02		,      lowercase_	:    Tuple=1e-5		,      lowercase_	:    Union[str, Any]=None		,      lowercase_	:    List[str]=None		,      **lowercase_	:    Optional[int]		,      ):




          '''simple docstring'''


          super().__init__(**SCREAMING_SNAKE_CASE_)

          SCREAMING_SNAKE_CASE_ :    Any       		=						image_size
          SCREAMING_SNAKE_CASE_ :    Optional[Any]       		=						patch_size
          SCREAMING_SNAKE_CASE_ :    Optional[Any]       		=						num_channels
          SCREAMING_SNAKE_CASE_ :    Optional[Any]       		=						embed_dim
          SCREAMING_SNAKE_CASE_ :    Tuple       		=						depths
          SCREAMING_SNAKE_CASE_ :    Union[str, Any]       		=						len(SCREAMING_SNAKE_CASE_)
          SCREAMING_SNAKE_CASE_ :    Optional[Any]       		=						num_heads
          SCREAMING_SNAKE_CASE_ :    Union[str, Any]       		=						window_size
          SCREAMING_SNAKE_CASE_ :    int       		=						mlp_ratio
          SCREAMING_SNAKE_CASE_ :    Optional[int]       		=						qkv_bias
          SCREAMING_SNAKE_CASE_ :    Any       		=						hidden_dropout_prob
          SCREAMING_SNAKE_CASE_ :    List[str]       		=						attention_probs_dropout_prob
          SCREAMING_SNAKE_CASE_ :    List[str]       		=						drop_path_rate
          SCREAMING_SNAKE_CASE_ :    str       		=						hidden_act
          SCREAMING_SNAKE_CASE_ :    int       		=						use_absolute_embeddings
          SCREAMING_SNAKE_CASE_ :    str       		=						layer_norm_eps
          SCREAMING_SNAKE_CASE_ :    Optional[int]       		=						initializer_range
          # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
          # this indicates the channel dimension after the last stage of the model
          SCREAMING_SNAKE_CASE_ :    Dict       		=						int(embed_dim * 2 ** (len(SCREAMING_SNAKE_CASE_) - 1))
          SCREAMING_SNAKE_CASE_ :    int       		=						['''stem'''] + [F'stage{idx}' for idx in range(1		,      len(SCREAMING_SNAKE_CASE_) + 1)]
          SCREAMING_SNAKE_CASE_		,     SCREAMING_SNAKE_CASE_ :    Tuple       		=						get_aligned_output_features_output_indices(
              out_features=SCREAMING_SNAKE_CASE_		,      out_indices=SCREAMING_SNAKE_CASE_		,      stage_names=self.stage_names)




"""simple docstring"""






def __magic_name__	(				_lowerCamelCase:		Tuple,					_lowerCamelCase:		Any			)					->						Optional[Any]:

	'''simple docstring'''




	lowerCAmelCase												=  [1]
	for i in range(2,					_lowerCamelCase			):
		factorials.append(factorials[-1] * i			)
	assert 0 <= k < factorials[-1] * n, "k out of bounds"

	lowerCAmelCase												=  []
	lowerCAmelCase												=  list(range(_lowerCamelCase			)			)

	# Find permutation
	while factorials:
		lowerCAmelCase												=  factorials.pop()
		lowerCAmelCase							,       lowerCAmelCase												=  divmod(_lowerCamelCase,					_lowerCamelCase			)
		permutation.append(elements[number]			)
		elements.remove(elements[number]			)
	permutation.append(elements[0]			)

	return permutation


if __name__ == "__main__":
					import doctest

					doctest.testmod()


